Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
47,133 repositories indexed
1–24 of 299 · Most stars
Apache Superset is a Data Visualization and Data Exploration Platform
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Kronos: A Foundation Model for the Language of Financial Markets
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
🕸️ Web apps in pure Python 🐍
Data Apps & Dashboards for Python. No JavaScript Required.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
open-source agentic AI data assistant for the next generation of AI + Data products.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Turns Data and AI algorithms into production-ready web applications in no time.
The interactive graphing library for Python :sparkles:
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Create web-based user interfaces with Python. The nice way.
🎨 Python Echarts Plotting Library
Jupyter metapackage for installation and documentation
Statistical data visualization in Python
机器学习相关教程